{"id":"W6965250666","doi":"10.34943/e7ad06f4-9b0e-4d59-b591-8ef2972f54bf","title":"Endeavour North Conductivity Temperature Depth Deployed 2018-06-27","year":2019,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Temperature measurement; Conductivity; Global Positioning System; Hydrothermal vent; Pressure sensor; Turbidity; Software deployment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008450734,0.001872646,0.001057765,0.002581776,0.0009863892,0.001507206,0.002160718,0.001332456,0.02172785],"category_scores_gemma":[0.003508577,0.0004991626,0.000705806,0.004943386,0.0004828923,0.001152305,0.001408854,0.001329107,0.0398325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231878,"about_ca_system_score_gemma":0.003429451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2573935,"about_ca_topic_score_gemma":0.4257333,"domain_scores_codex":[0.9989682,0.0001097185,0.00007828273,0.0002788661,0.0003679173,0.0001969766],"domain_scores_gemma":[0.9984502,0.0001590299,0.0000945665,0.0003214496,0.0007815991,0.0001931001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005944581,0.00001870073,0.001536879,0.000207593,0.00001763789,0.00003956773,0.0000356421,0.0004702995,0.0001613927,0.000360195,0.9945737,0.002518944],"study_design_scores_gemma":[0.0001462272,0.0000237999,0.01168091,0.0002359451,0.00001801328,0.00007050884,0.0002478037,0.00138516,0.0004840903,0.0009350812,0.9847276,0.00004491138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005053371,0.00005911402,0.0001197061,0.00008345131,0.00004261935,0.00001335463,0.9972588,0.0005536752,0.001363969],"genre_scores_gemma":[0.0007269277,0.00002788975,0.000254325,0.00002283756,0.000005754015,0.0000269971,0.9980375,0.00005677075,0.0008410133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2573935,"threshold_uncertainty_score":0.5117906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439362401785411,"score_gpt":0.2193107090337696,"score_spread":0.2049170850159155,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}